1

Full Stack Ai Engineer Jobs in Georgia (NOW HIRING)

... Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI ...

As a Full Stack AI Systems Software Development Engineer, you will design and build production-grade applications that operationalize Evergreen.AI systems inside real enterprise workflows. This role ...

Full Stack Developer Location: Atlanta, GA, Hybrid Employment Type: Full-Time About Us ... Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems ...

Job Summary : Bricklayer AI is the first multi-agent LLM-based AI solution that brings autonomous ... The Full Stack Engineer will contribute to the frontend architecture and implementation of the ...

Sr Advanced AI Platform Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

The Full Stack Developer III builds and supports applications, integrations, and digital tools that ... Use AI-assisted development tools responsibly, including coding copilots, test generation ...

next page

Showing results 1-20

Full Stack Ai Engineer information

See Georgia salary details

$37.6K

$113.8K

$160.9K

How much do full stack ai engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for full stack ai engineer in Georgia is $113,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $133,400.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What cities in Georgia are hiring for Full Stack Ai Engineer jobs? Cities in Georgia with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Georgia as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $113,798 per year, or $54.7 per hour.
Full Stack AI Developer (React, Python Microservices) - Q125

Full Stack AI Developer (React, Python Microservices) - Q125

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Full Stack AI Developer (React, Python Microservices)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a versatile Full Stack AI Developer to build AI-enhanced applications using React for frontends and Python microservices for backends. This role focuses on integrating machine learning models into containerized environments.
Key Responsibilities
  • Develop interactive frontends with React to showcase AI-driven features and insights.
  • Build Python-based microservices to integrate AI/ML models via REST APIs.
  • Deploy full stack applications in Docker or Kubernetes for scalability and portability.
  • Collaborate with data scientists to embed machine learning capabilities into user-facing systems.
  • Optimize applications for performance and reliability across frontend and backend layers.
  • Ensure secure API integrations between React frontends and Python microservices.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in full stack development with React and Python microservices.
  • Proficiency in integrating AI/ML models into applications using REST APIs.
  • Experience with Docker or Kubernetes for containerized application deployments.
  • Strong understanding of full stack AI development and microservices architecture.

Preferred Qualifications
  • Familiarity with ML frameworks like TensorFlow or PyTorch for backend integration.
  • Exposure to cloud platforms like AWS or GCP for hosting AI-driven microservices.
  • Knowledge of frontend state management tools like Redux for AI-enhanced UIs.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Full Stack, React, Python, AI, Machine Learning, Microservices, API, Docker, Kubernetes